Theoretical framework and key technologies of electric power intelligent computing systems

As the intelligent core of new power systems, electric power intelligent computing systems (EPICS) are undergoing paradigm transformation from information infrastructure to cognitive decision-making enablers. This paper establishes a three-dimensional analytical framework encompassing “theoretical architecture-technological ecosystem-application paradigms” to systematically elucidate the evolutionary logic and development pathways of EPICS. First, we propose a domain-adaptive definition framework that reveals EPICS’ core characteristics of “high computing power, high energy efficiency, strong intelligence, and enhanced security”, while constructing a hierarchical architecture system comprising perception layer, network layer, platform layer, and application layer. The study further reviews technological advancements through four critical dimensions: heterogeneous computing architectures, intelligent algorithm acceleration, multi-modal data governance, and high-reliability system technologies. Empirical analyses of typical engineering applications demonstrate current implementation achievements and technical bottlenecks. Finally, challenges and future directions are proposed across three levels: theoretical breakthroughs in autonomous decision-making mechanisms, technological innovations in power-computing convergence, and strategic development of standardized evaluation systems. This research provides foundational theoretical references and methodological paradigms for constructing independently controllable electric power intelligent computing systems.